Inferential Statistics
Inferential statistics involves using data from a sample to infer details about a population. These guides will give you the tools you need to interpret your data and gain insight into what it all means.

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Why Say Fail to Reject in a Hypothesis Test?

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Statistics: Degrees of Freedom

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Parametric and Nonparametric Methods in Statistics

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Type I and Type II Errors in Statistics

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What Is the Difference Between Alpha and PValues?

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Examples of Confidence Intervals for Means

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Maximum Likelihood Estimation Examples

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Degrees of Freedom for Independence of Variables in TwoWay Table

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Example of an ANOVA Calculation

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How Large of a Sample Size Do Is Needed for a Certain Margin of Error?

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An Example of a Hypothesis Test

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How to Calculate a Confidence Interval for a Mean When We Know Sigma

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How to Find Critical Values With a ChiSquare Table

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An Example of ChiSquare Test for a Multinomial Experiment

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Example of Confidence Interval for a Population Variance

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How to Find Degrees of Freedom in Statistics

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The Difference Between Type I and Type II Errors

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Confidence Interval for the Difference of Two Population Proportions

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Confidence Interval Example for Difference of Population Proportions

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What Is the Runs Test?

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Different Methods for Inference About the Mean

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What Is ANOVA?

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How to Calculate the Margin of Error

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Example of a Permutation Test

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The Use of Confidence Intervals in Inferential Statistics

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Four Confidence Interval Mistakes

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Calculating a Confidence Interval for a Mean

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Plus Four Confidence Intervals

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What Is a Sampling Distribution